{"id":"W4398454597","doi":"10.7910/dvn/pkjufn/wfii6t","title":"FCC2002.215.ran","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Transport Systems and Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Ran; Computer science; Computer network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001155896,0.003718869,0.001749912,0.004385028,0.001213838,0.003253583,0.0039398,0.003162662,0.08751479],"category_scores_gemma":[0.005341345,0.0008832719,0.001691199,0.006688725,0.0006570047,0.001895905,0.00221243,0.002049658,0.1734121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001787161,"about_ca_system_score_gemma":0.002354108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03670186,"about_ca_topic_score_gemma":0.05517647,"domain_scores_codex":[0.9987411,0.0002186026,0.0001177673,0.0003943547,0.0002681207,0.0002600507],"domain_scores_gemma":[0.9978616,0.0003950376,0.0001646661,0.0007401546,0.0005655842,0.0002729507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003976307,0.00001591628,0.0002255971,0.0002253802,0.00001661921,0.000009978143,0.000007940792,0.0002094355,0.00005891561,0.0002374822,0.9980701,0.0008829154],"study_design_scores_gemma":[0.0003594064,0.00003685373,0.002889657,0.0002823778,0.00003555639,0.00006561798,0.00008876183,0.001180936,0.0004822375,0.001512883,0.9930224,0.0000432808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001009382,0.00005068658,0.00004260434,0.000051462,0.00003638118,0.000006280396,0.9984109,0.0005773751,0.0007233105],"genre_scores_gemma":[0.0002524843,0.0000293251,0.0001132551,0.00003267376,0.000007862857,0.00002146745,0.9990471,0.00006921727,0.0004266022],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9124852,"threshold_uncertainty_score":0.2927662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030042744879746,"score_gpt":0.1905832209160307,"score_spread":0.1802827934672333,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}